forestControl: Approximate False Positive Rate Control in Selection Frequency for Random Forest

Approximate false positive rate control in selection frequency for random forest using the methods described by Ender Konukoglu and Melanie Ganz (2015) <arXiv:1410.2838>. Methods for calculating the selection frequency threshold at false positive rates and selection frequency false positive rate feature selection.

Version: 0.1.1
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat, randomForest, ranger
Published: 2018-02-19
Author: Tom Wilson [aut, cre], Jasen Finch [aut]
Maintainer: Tom Wilson <tpw2 at aber.ac.uk>
BugReports: https://github.com/aberHRML/forestControl/issues
License: MIT + file LICENSE
URL: https://github.com/aberHRML/forestControl
NeedsCompilation: yes
Citation: forestControl citation info
Materials: NEWS
CRAN checks: forestControl results

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Reference manual: forestControl.pdf
Package source: forestControl_0.1.1.tar.gz
Windows binaries: r-devel: forestControl_0.1.1.zip, r-release: forestControl_0.1.1.zip, r-oldrel: forestControl_0.1.1.zip
OS X binaries: r-release: forestControl_0.1.1.tgz, r-oldrel: forestControl_0.1.1.tgz

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